Principal AI Engineer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

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As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Technology Product & Platform Management

Intelligent Automation Engineering

Scientific/Technology

Raritan, New Jersey, United States of America

J&J is currently seeking a Principal AI Engineer for their Technology Services team based in Raritan, NJ.

This position will report into the Senior Manager, TS GenAI platform engineering.

• Own the GenAI cloud-native modernization roadmap on AWS: assess each service against its managed equivalent, decide replace, refactor, retain or retire, and re-platform onto Bedrock, Agent Core, ECS and EKS, Lambda, Step Functions, DynamoDB and S3.
• Define the AWS Well-Architected reference architecture and enforce a cloud-native-by-default standard, favoring managed orchestration — harness engineering and durable workflow on Step Functions — over bespoke agent development.
• Engineer the AWS foundation:
  Bedrock access and quotas; the landing zone and multi-account architecture on Organizations and Control Tower; VPC, Private Link, Transit Gateway and least-privilege IAM — delivered for standardized consumption with the Cloud and ISRM teams.
• Codify the estate as Infrastructure as Code in Terraform and CDK — modules, pipelines, drift detection, policy-as-code — replacing console changes, contributing hands-on where needed.
• Run migration waves without disrupting users:
  Route 53 weighted and blue-green cutover, backward-compatible APIs, data migration, documented rollback, and decommissioning only once the AWS replacement is proven in production.
• Deliver GxP-qualified AWS infrastructure under change control agreed with Quality and ISRM, and partner with GenAI governance on guardrail, identity and traceability controls that reduce dependency on manual review.
• Engineer the hosting substrate for the enterprise platform capabilities — APIM, Content Sphere, Agent Framework, Drafting Assist, the MCP Gateway and the Agent, Skills and MCP catalog — plus the semantic layer, retrieval and evaluation harness services that agentic and application workloads build on.
• Own cost, performance and resilience engineering: tagging and showback, commitment discounts, Bedrock inference efficiency, multi-AZ and multi-region design, capacity planning and disaster recovery — with Cloud Watch and X-Ray observability and reporting on adoption, reliability and cost.
• Lead, coach and develop the AWS platform engineering team in an inclusive, Credo-grounded environment — accountable for timely delivery, budget optimization and engineering quality, and supporting LFRP planning.
• Own the AWS partnership and cross-cloud alignment: architecture reviews, early access and quota negotiation; position papers on emerging capabilities; adoption of agentic approaches in software development; and parity with the Azure platform engineering sub-team on shared primitives.

• Minimum of 8 years of progressive…